Rodrigo Moreno

Associate Professor

KTH Royal Institute of Technology

Sweden

Research Interests

Explore related searches

Professors in Sweden Professors in Medical Imaging Medical Imaging professors in Sweden

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Rodrigo Moreno is an Associate Professor at KTH Royal Institute of Technology in Sweden. His research areas include the synthesis of individualized aging brains, brain morphological changes associated with aging and Alzheimer's disease, and advanced imaging techniques for bone structure analysis. Recent publications highlight his work on deep learning models for brain age prediction and the application of generative models in neuroimaging.

Articles (12)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2020

Year:

2020

Collaborators (4)

Örjan Smedby

KTH Royal Institute of Technology

SWEDEN

View details

Eric Westman

Professor

Karolinska Institutet-Huddinge Campus

SWEDEN

View details

Daniel Ferreira

Karolinska Institutet

SWEDEN

View details

Alexandr Malusek

Associate professor

Linköping University

SWEDEN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Rodrigo Moreno

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

Synthesizing individualized aging brains in health and disease with generative models and parallel transport

Decomposing the effect of normal aging and Alzheimer's disease in brain morphological changes via learned aging templates.

Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens.

Asymmetry in Cortical Thickness of the Heschl's Gyrus in Unilateral Ear Canal Atresia.

Asymmetry in Cortical Thickness of the Heschl’s Gyrus in Unilateral Ear Canal Atresia

Bounding tractogram redundancy.

Randomized iterative spherical‐deconvolution informed tractogram filtering

Fast three‐dimensional image generation for healthy brain aging using diffeomorphic registration

A deep learning model for brain age prediction using minimally preprocessed T1w images as input.

Photon-counting detector CT and energy-integrating detector CT for trabecular bone microstructure analysis of cubic specimens from human radius

A comparative study of trabecular bone micro-structural measurements using different CT modalities

X-Ray Bone Fracture Classification Using Deep Learning: A Baseline for Designing a Reliable Approach

Collaborators (4)

Örjan Smedby

Eric Westman

Daniel Ferreira

Alexandr Malusek

Make your next move.